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Determining the operative line of resection for image‐guided emphysema surgery using a laser scanner and non‐rigid registration
Author(s) -
Lee JongHa,
Won ChangHee,
Marchetti Nathaniel
Publication year - 2010
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.315
Subject(s) - computer vision , scanner , image registration , artificial intelligence , computer science , resection , medicine , laser scanning , image guided surgery , overlay , line (geometry) , radiology , laser , surgery , image (mathematics) , mathematics , optics , physics , geometry , programming language
Background Although many diseases such as emphysema are diagnosed with preoperative imaging modalities, this information is rarely utilized in the operating room. A method that relates the preoperative images to the non‐rigid organ in physical space would aid a surgeon to determine the line of resection. Methods We used a three‐dimensional (3D) laser scanner to obtain intraoperative images of the lung and overlayed it with preoperative CT images, using a non‐rigid image registration method. Results The non‐overlapping registration error of the system was 1.91 ± 0.28% without organ deformation and 2.69 ± 0.28% with 9% organ deformation. When 83% of the organ was visible, the registration error was 2.99 ± 0.42%. Conclusion A novel image overlay system using a 3D laser scanner and a non‐rigid registration method was implemented and its accuracy evaluated. By using the proposed system, we successfully related the preoperative images with an open organ in the operating room. Copyright © 2010 John Wiley & Sons, Ltd.